Data Management & Analytics: Top things companies is looking for

Feb 19, 2020, 02 PM EST to 03 PM EST

Dec 12
Considering the growth of external threats, the major pain points for many IT leaders are effective data protection and disaster recovery strategies. Both pure on-premises and cloud storage strategies have significant downsides, while with great promise hybrid-cloud approaches are still evolving and challenge IT organizations’ ability for reliable and cost-effective service management and delivery.

Suneratech knows the importance of correct, complete, and integrated data to drive our marketing performance. So, we’re bringing our top data expert/s to help define what a high-octane data management program looks like and what the top companies looking for.

Ram Konduru - Data & Analytics

Ram Konduru

AVP, Data & Analytics, Suneratech
Key Takeaways:
  • Real-world examples of common data integration and data quality pitfalls, and tips for how to avoid them
  • Understand what’s ahead in Data Management and analytics, including the top trends in DataOps, data science, IoT and AI.
  • Apply innovation frameworks to analytics practices to get the most out of data management, processes, and technology.
  • Eradicate manual or repetitive workloads and tasks through data standardization and curated line-of-business analytics environments.
  • Invent new technologies and strategies to reinforce analytics ecosystems with greater speed, flexibility and scalability

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